in-context-examples

This paper proposes Retrieval Augmented Search (RAS), a blackbox adaptation method using retrieval-augmented search and atomic edit decomposition (AEGIS) to improve LLM-based program optimization for C++ and Python, achieving up to 2.06x improvement over prior methods.